STRIKE-GOLDD 4.2.1

Fixed minor bug in 4.2.0.

STRIKE-GOLDD 4.2.0: simplified code

This new version removes a number of old features that are either no longer necessary, outdated, or have been shown to give unreliable results. The deprecated options include the possibility of decomposition and of replacing states with specific initial conditions. Furthermore, the graphical interfaces have been redesigned, and the documentation has been updated.

STRIKE-GOLDD 4.1.0: integrate the NLcontrollability tool

This release integrates NLcontrollability within STRIKE-GOLDD. NLcontrollability is a Matlab tool that analyses the accessibility and controllability of nonlinear systems using a differential geometry approach. It has its own github repository, and it can also be used within STRIKE-GOLDD.

STRIKE-GOLDD 4.0.3: avoid approximation errors

When analysing models with complex output functions (e.g. fractions containing several state variables), the model transformations required by ProbObsTest sometimes led to approximation errors that affected the results. This potential issue was detected and solved in this release.

STRIKE-GOLDD 4.0.2: using AutoRepar with ProbObsTest

The main novelty in STRIKE-GOLDD 4.0.2 is that the automatic reparameterization function, AutoRepar, analyses structural identifiability and observability by calling the ProbObsTest algorithm instead of FISPO. This change leads to significant speed-ups, which for certain models can be of several orders of magnitude.

STRIKE-GOLDD 4.0.1: fixed bugs and increased robustness

This release fixes a number of bugs that were detected in the initial release of STRIKE-GOLDD v4.0. The changes provide: compatibility with more versions of MATLAB, more robust behaviour with respect to ill-specified options, and more informative warnings.

STRIKE-GOLDD 4.0

STRIKE-GOLDD 4.0 includes a new algorithm, ProbObsTest, that is specifically designed for the analysis of rational models and is significantly faster than the FISPO algorithm when applied to computationally expensive models. As an additional novelty, STRIKE-GOLDD 4.0 is implemented as a Matlab app with a user-friendly graphical interface.

STRIKE-GOLDD v3.2

Inclusion of a new algorithm, Prob_Obs_Test, which can be applied to rational models and is computationally more efficient (faster, uses less RAM) than the FISPO algorithm.

STRIKE-GOLDD 3.1

STRIKE-GOLDD 3.1 is the new stable release. It includes new models and fixes a number of bugs.

AutoRepar: Automatic Reparameterization

STRIKE-GOLDD version 3.0 incorporates a procedure, AutoRepar, for automatic reparameterization. AutoRepar yields reparameterized models that are structurally identifiable and observable. The reparameterization preserves the mechanistic meaning of selected variables, and has the exact same dynamics and input-output mapping as the original model.